An Effective and Accessible Location Aware Recommender System

Location aware recommender system (LARS) uses the location based rating to provide recommendations. Traditionally, many recommended systems are very poor in providing proper spatial details to its users especially for products and items, but LARS has specialized feature of accuracy in predicting specific locations on basis of rating. This technique exploits spatial rating destination closest to its users. LARS use three types of location or destination based ratings like - non-specific spatial location rating for specifically located spatial items, specifically located specific spatial rating for non-specific spatial items and specifically located spatial rating for specifically located spatial item. With the help of Lars, user rating location as well as the item locations can be exploited. User location exploits by user partition process which in eases recommendations with online modelling as well as offline modelling. Item locations are executed by using travel penalty procedure which favours recommendations which is closer to the user and user's location. Travel penalty procedure or a querying user executed on together or independently.